Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/12663#issuecomment-214842098
I feel like SPARK-7126 should not change this behavior. If a user passes
in data which are all integers in [0, ..., some small-ish integer], then I
think it's reasonable, to assume they are class labels. That is what most ML
libraries do, I believe.
I bet we could fix the cross validation issue by having CV check to see if
the algorithm is a classifier, but I don't think we need to rush on that.
@sethah @MLnick Thanks for taking a look, and please let me know if there
are other items to address. I'll take your votes on the maxNumClasses value.
: )
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